Month

January 2016

Following on from the release of our all-in-one classyfire R package on CRAN, we are pleased to announce the publication of the associated paper that explains how it works. classyfire provides a simple solution to building and evaluating machine learning solutions based on support vector machine (SVM) ensembles, using a novel heuristic optimisation approach which trains SVMs in a fraction of the usual time.